September 2011
Volume 11, Issue 11
Vision Sciences Society Annual Meeting Abstract  |   September 2011
In multiple object tracking, at high speeds one may only be able to track a single target–even if no crowding occurs
Author Affiliations
  • Alex Holcombe
    School of Psychology, University of Sydney
  • Wei-Ying Chen
    School of Psychology, University of Sydney
Journal of Vision September 2011, Vol.11, 282. doi:
  • Views
  • Share
  • Tools
    • Alerts
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Alex Holcombe, Wei-Ying Chen; In multiple object tracking, at high speeds one may only be able to track a single target–even if no crowding occurs. Journal of Vision 2011;11(11):282.

      Download citation file:

      © ARVO (1962-2015); The Authors (2016-present)

  • Supplements

To assess the speed limit for tracking moving objects with attention, first some blobs are designated as targets, then they and other identical blobs travel about. After a variable tracking period, participants must indicate which blobs had been designated as targets. If more blobs are designated for tracking, the maximum speed yielding accurate performance decreases. However, Franconeri et al. (2008, 2010) suggested that the decrease in high-speed performance with more targets is entirely attributable to crowding–in most studies, at higher speeds objects pass near each other more frequently. We assessed the speed limit for tracking one and for tracking two targets. In each of two concentric circular trajectories, two blobs traveled. Within a trajectory, the two blobs were always on opposite sides of fixation. One blob in one trajectory (one-target condition) or one blob in each trajectory (two-target condition) was precued. Separation between the trajectories was varied to assess any effect of crowding. RESULTS. The average speed limit (68% threshold) of six participants was substantially higher for tracking one target (1.9 rps) than for tracking two targets (1.5 rps), even when crowding was avoided with large separation. The slowness of the two-target limit found is similar to that predicted (1.6 rps) if each participant tracked only one target at high speeds, guessing when they picked the wrong one to track. To further investigate what causes the speed limits, we exploited the finding of hemisphere-specific tracking resources (Alvarez & Cavanagh, 2005). Two targets were in either the same hemifield or different hemifields. The speed limit was significantly lower (six participants) for targets in the same hemifield than in opposite hemifields, consistent with the involvement of independent resources. Availability of such resources may set the severe speed limits on tracking documented here.

Australian Research Council Discovery Project and Future Fellowship to AOH. 

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.